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# Research Engineer, Advancing Agent Quality, DeepMind

- **Company:** DEEPMIND MATRIX
- **Location:** Mountain View, CA, United States
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Reinforcement Learning, Supervised Learning, Pytorch
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0225a5c0c1191fed

## About the Role

* 2 years of experience with agentic AI workflows, frameworks, and approaches.
 * 1 year of experience with machine learning and deep learning.
 * Experienece in software engineering and cloud-based development.
 * Experience with Python, TensorFlow, PyTorch, or similar ML frameworks., * In-depth knowledge of machine learning algorithms, including supervised learning and reinforcement learning.

## Description

* Design, build, and scale realistic agent environments and task suites. Research and develop Agentic AutoRaters (AR), calibrate them against human evaluation, and benchmark agent capabilities against industry-leading frontier models.
 * Enable agents to automatically generate and iterate on verifiers (such as automated test cases), facilitating effective exploration and iterative problem-solving.
 * Develop trajectory analysis frameworks and diagnostic tooling to identify root-cause agent failure modes (e.g., passivity, hallucination, or brittle tool execution), and automatically optimize agent harnesses to drive continuous self-improvement.
 * Harvest complex multi-turn interaction trajectories into high-quality datasets and reward signals to power SFT and RL flywheels for frontier Gemini models.


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